We apply Random-Shot meta-training similarly to the Standard episodic meta-training [1]} but with the balanced tasks exchanged with \(K_{min}\) -\(K_{max}\) -shot random-distribution tasks, as defined above. We use random-distribution following previous work [2]}, [3]}, since in real-world applications, the actual imbalance distribution is likely to be unknown at meta-evaluation time.
